Senior AI Engineer

5 Star Recruitment
  • Dallas, Texas
  • Autofill and Review
30+ days ago

Job Description

What Youll Do

As a Senior AI Engineer at InRhythm, you will:

  • Architect and implement advanced AI and machine learning systems that solve complex business problems
  • Lead the design and deployment of LLM-based applications using frameworks like LangChain, LlamaIndex, and vector databases
  • Develop end-to-end ML pipelines from data acquisition and model training to deployment and monitoring
  • Design and build AI copilots, agents, and generative workflows that integrate seamlessly into modern software ecosystems
  • Apply deep expertise in NLP, computer vision, or predictive modeling to build intelligent, real-time systems
  • Evaluate and fine-tune foundation models for custom enterprise use cases
  • Collaborate with cross-functional product, design, and engineering teams to define intelligent experiences
  • Explore and implement retrieval-augmented generation (RAG), semantic search, and multi-modal reasoning techniques
  • Contribute to internal AI frameworks, toolkits, and accelerators to speed up solution delivery
  • Mentor engineers on AI architecture, model lifecycle best practices, and ethical/secure use of machine learning

Requirements

Youll bring:

  • 8+ years of software engineering experience with a strong focus on AI/ML and intelligent systems
  • 3+ years in a technical leadership role, building and deploying machine learning systems in production
  • Deep expertise in Python and modern AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
  • Experience with large language models (OpenAI, Anthropic, Cohere, open source LLMs) and prompt engineering
  • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and scalable ML infrastructure
  • Knowledge of AI system design, data engineering for ML, model evaluation, and MLOps practices
  • Experience integrating AI capabilities into full-stack applications and cloud-native environments, specifically within AWS.
  • Strong communication skills and a consulting mindsetable to confidently lead client-facing discussions on AI strategy
  • Passion for experimentation, innovation, and shaping the future of applied AI

Required Citizenship / Work Permit / Visa StatusUS Citizens/Green card holders

Must-HavesBelow are the MUST HAVE's:• LangChain• LangGraph• Python• JavaScript• AWS Bedrock• Orchestration• PyTorch/TensorFlow/Hugging Face• MLOps

Numbers & Facts

LocationDallas, Texas

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Frameworkunmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Best Practicesunmatched
  • Cloud Applicationsunmatched
  • Communication Skillsunmatched
  • Computer Visionunmatched
  • Consultingunmatched
  • Cross-Functionalunmatched
  • Customer Relationsunmatched
  • Data Modelingunmatched
  • Ecosystemsunmatched
  • Engineeringunmatched
  • Machine Learningunmatched
  • Mentoringunmatched
  • Modeling Languagesunmatched
  • Natural Language Processing (NLP)unmatched
  • Open Sourceunmatched
  • Predictive Modelingunmatched
  • Problem Solving Skillsunmatched
  • Product Designunmatched
  • Production Systemsunmatched
  • Python Programming/Scripting Languageunmatched
  • Semantic Searchunmatched
  • Software Engineeringunmatched
  • Technical Leadershipunmatched
  • Technical/Engineering Designunmatched
  • Use Casesunmatched

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